Statistics

# Formula Review

StatisticsFormula Review

### 12.1Linear Equations

y = a + bx, where a is the y-intercept and b is the slope. The variable x is the independent variable and y is the dependent variable.

### 12.3Testing the Significance of the Correlation Coefficient (Optional)

Least-Squares Line or Line of Best Fit:

$ŷ =a+bx , ŷ =a+bx ,$

where a is the y-intercept and b is the slope.

Standard Deviation of the Residuals:

$s= SSE n−2 , s= SSE n−2 ,$

where SSE = sum of squared errors, and

n = the number of data points.